Barbados - Mortality rate, infant, female (per 1,000 live births)

The value for Mortality rate, infant, female (per 1,000 live births) in Barbados was 10.40 as of 2020. As the graph below shows, over the past 60 years this indicator reached a maximum value of 64.30 in 1960 and a minimum value of 10.40 in 2020.

Definition: Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female live births in a given year.

Source: Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.

See also:

Year Value
1960 64.30
1961 59.80
1962 55.80
1963 52.40
1964 49.40
1965 46.80
1966 44.50
1967 42.40
1968 40.50
1969 38.60
1970 36.80
1971 35.00
1972 33.20
1973 31.50
1974 29.80
1975 28.20
1976 26.60
1977 25.10
1978 23.70
1979 22.30
1980 21.10
1981 20.00
1982 19.10
1983 18.40
1984 17.80
1985 17.30
1986 16.80
1987 16.30
1988 15.70
1989 15.20
1990 14.60
1991 14.00
1992 13.50
1993 13.00
1994 12.70
1995 12.40
1996 12.30
1997 12.20
1998 12.30
1999 12.40
2000 12.60
2001 12.80
2002 13.00
2003 13.20
2004 13.20
2005 13.20
2006 13.10
2007 13.00
2008 12.80
2009 12.70
2010 12.60
2011 12.50
2012 12.40
2013 12.20
2014 12.10
2015 11.80
2016 11.60
2017 11.30
2018 11.00
2019 10.70
2020 10.40

Development Relevance: Mortality rates for different age groups (infants, children, and adults) and overall mortality indicators (life expectancy at birth or survival to a given age) are important indicators of health status in a country. Because data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. And they are among the indicators most frequently used to compare socioeconomic development across countries.

Limitations and Exceptions: Complete vital registration systems are fairly uncommon in developing countries. Thus estimates must be obtained from sample surveys or derived by applying indirect estimation techniques to registration, census, or survey data. Survey data are subject to recall error, and surveys estimating infant/child deaths require large samples because households in which a birth has occurred during a given year cannot ordinarily be preselected for sampling. Indirect estimates rely on model life tables that may be inappropriate for the population concerned. Extrapolations based on outdated surveys may not be reliable for monitoring changes in health status or for comparative analytical work.

Statistical Concept and Methodology: The main sources of mortality data are vital registration systems and direct or indirect estimates based on sample surveys or censuses. A "complete" vital registration system - covering at least 90 percent of vital events in the population - is the best source of age-specific mortality data. Estimates of neonatal, infant, and child mortality tend to vary by source and method for a given time and place. Years for available estimates also vary by country, making comparisons across countries and over time difficult. To make neonatal, infant, and child mortality estimates comparable and to ensure consistency across estimates by different agencies, the United Nations Inter-agency Group for Child Mortality Estimation (UN IGME), which comprises the United Nations Children's Fund (UNICEF), the World Health Organization (WHO), the World Bank, the United Nations Population Division, and other universities and research institutes, developed and adopted a statistical method that uses all available information to reconcile differences. The method uses statistical models to obtain a best estimate trend line by fitting a country-specific regression model of mortality rates against their reference dates.

Aggregation method: Weighted average

Periodicity: Annual

General Comments: Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development ac

Classification

Topic: Health Indicators

Sub-Topic: Mortality